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IBM Software                                                                                                       Executive Summary




                                                            Unprecedented
                                                            performance and scalability
                                                            demonstrated for meter
                                                            data management
                                                            Performance testing results of AMT-SYBEX
                                                            Affinity Meterflow application using IBM Informix
                                                            TimeSeries software


                                                            Executive summary
               Highlights                                   In August 2011, IBM and AMT-SYBEX, an IBM Business Partner
                                                            and provider of high-performance energy data processing solutions
               Ten million meters scalable to one           for energy and utilities companies across Europe, collaborated to
               hundred million meters for five billion      perform a benchmark test of Affinity Meterflow (formerly Smart DTS),
               daily meter readings
                                                            AMT-SYBEX’s solution for meter data management (MDM). The
               IBM and AMT-SYBEX testing has                Affinity Meterflow application uses IBM Informix TimeSeries software
               demonstrated the capability of the IBM®      to manage smart meter data. The benchmark was performed at the
               Informix® TimeSeries software to enable
                                                            IBM Power Systems Benchmark Center in Montpellier, France, on
               the Affinity Meterflow™ application to
               offer linear scalability up to 100 million   a single IBM POWER7® system, utilizing 16 cores.1
               meters to load and process meter data at
               30-minute intervals in less than 8 hours.    Understanding the significance of this benchmark may help energy and
               The time required for 10 million meters
               took less than 36 minutes.
                                                            utilities organizations and MDM solution providers to:

                                                            •	   Deploy best-in-class MDM solutions
                                                            •	   Dramatically reduce storage and system costs
                                                            •	   Accelerate time-to-value gained from smart meter data
                                                            •	   Reduce risk of smart meter deployments
                                                            •	   Help protect growing smart meter investments
IBM Software                                                                                                           Executive Summary




The results of this benchmark demonstrate the substantial                  In summary, the benchmark results show that Informix
business value that use of Informix TimeSeries combined with               TimeSeries software is able to break the bottleneck of massive
a proven MDM application can deliver to the energy and                     MDM and deliver significant business benefits to utility
utilities industry. We invite the reader to compare these                  organizations, as well as to ISVs offering packaged MDM
results with other published benchmark results.                            solutions such as Affinity Meterflow from AMT-SYBEX.

•	   Faster	processing	of	meter	data	means	faster	business	                The value of the benchmark
     processes	that	use	that	data                                          Data is increasingly the lifeblood of every industry, but a
     –Achieved daily billing calculations of 21,000 bills per minute       deluge of digitized information can create huge disruptions
      while concurrently running the data load                             and risk if not anticipated and effectively managed. Consider
                                                                           the communications industry, forced to accelerate huge
•	   Significant	reduction	in	storage	requirements                         infrastructure investments as their systems and networks
     –Total storage required for one month of interval and                 strain under the data pressure created by an avalanche of
      register data for 100 million meters was less than 4 terabytes       smart devices and new data services.
     – Average throughput exceeded 420,000 records per second
      in meter data load using standard storage disks                      Enter the smart meter.

•	   Consistent,	scalable	performance	helps	yield	highly	                  As the cornerstone of Smart Grid initiatives and Advanced
     predictable	costs	                                                    Metering Infrastructure (AMI), smart meters promise
     –Daily end-to-end processing times remained constant for              to deliver significant benefits to energy and utilities
      100 million meters over a 31-day period, irrespective of the         organizations and their consumers. Smart meters
      amount of data stored                                                fundamentally change how and when energy usage data
     –Storage requirements remained linear over time                       is collected. The result is a tsunami of data that must be
                                                                           processed, transferred, stored and analyzed, creating
These results are enabled by the unique technology of the                  unforeseen technical challenges and business risks for which
Informix TimeSeries software, used together with a proven                  many utility organizations are not prepared.
MDM solution such as Affinity Meterflow. Unlike traditional
relational databases, Informix TimeSeries technology                       As AMI initiatives increase, how does a buyer compare one
consolidates and organizes time-stamped (interval) data in a               MDM solution to another? Armed with the knowledge
way that requires less storage space and enables significantly             that MDM will create data storage and performance
improved data load and query times.                                        challenges, how does a buyer know the amount of systems
                                                                           and storage that will be needed or whether service-level
                                                                           agreement goals have been met?




                                                                       2
IBM Software                                                                                                      Executive Summary




Answers to these questions are determined by many factors,           The benchmark was conceived and conducted to illustrate
including the database system that sits at the core of all           these benefits in tangible ways. It tested the preparation,
MDM solutions, whether packaged or home-grown. Does it               loading and validation, estimation and editing (VEE) of
matter which data management solution is used?                       meter data for a 10 million–meter utility, as well as a
                                                                     “day-in-the-life” scenario for a 100 million–meter utility. If
The answer is decidedly yes.                                         you compare the performance of Affinity Meterflow with
                                                                     other MDM solution offerings that do not use Informix
Providers of MDM solutions understand that faster                    TimeSeries software, we believe you will conclude that these
processing of meter data enables faster business processes           performance and scalability results are exceptional.
that utilize that data (such as meter-to-cash) and faster data
analysis. With a database system as the enabling technology,         For more information
performance is affected by the speed, efficiency, and                To see the complete benchmark test and results, please visit:
scalability of that database system.                                 https://www.ibm.com/developerworks/forums/
                                                                     thread.jspa?threadID=390441
IBM has conducted several Proof of Concepts (PoCs) with a
number of companies using Informix TimeSeries as the
enabling technology in the customer’s own MDM
applications. In each PoC, Informix TimeSeries consistently
outperformed the customer’s existing solutions, at times
enabling up to 50 to 70 times faster processing of meter data,
while requiring as little as 30 percent of the storage.




                                                                 3
© Copyright IBM Corporation 2011

 IBM Corporation
 Software Group
 Route 100
 Somers, NY 10589
 U.S.A.

 Produced in the United States of America
 September 2011
 All Rights Reserved

 IBM, the IBM logo, ibm.com, Informix and POWER7 are trademarks
 of International Business Machines Corporation, registered in many
 jurisdictions worldwide. A current list of other IBM trademarks is available
 on the web at “Copyright and trademark information” at ibm.com/legal/
 copytrade.shtml

 Other company, product or service names may be trademarks, or service
 marks of others.

 DTS, Smart DTS, and Affinity Meterflow are products of AMT-SYBEX.
 IBM and AMT-SYBEX are separate companies and each is responsible for
 its own products. Neither IBM nor AMT-SYBEX makes any warranties,
 express or implied, concerning the other’s products.

 References in this publication to IBM products or services do not imply
 that IBM intends to make them available in all countries in which IBM
 operates. All statements regarding IBM’s future direction and intent are
 subject to change or withdrawal without notice, and represent goals and
 objectives only.

1 Performance data resulting from the benchmark testing contained in this
  summary were determined in various controlled laboratory environments
  using a specific hardware and software configuration, are provided AS IS,
  and are for reference purposes only. The results that may be obtained in
  other operating environments may vary significantly. Factors that may
  influence actual results include, but may not be limited to, the specific
  hardware (servers, storage, etc.) used, application environments, and use
  of data compression, etc.


           Please Recycle




                                                        IME14017-USEN-00

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  • 1. IBM Software Executive Summary Unprecedented performance and scalability demonstrated for meter data management Performance testing results of AMT-SYBEX Affinity Meterflow application using IBM Informix TimeSeries software Executive summary Highlights In August 2011, IBM and AMT-SYBEX, an IBM Business Partner and provider of high-performance energy data processing solutions Ten million meters scalable to one for energy and utilities companies across Europe, collaborated to hundred million meters for five billion perform a benchmark test of Affinity Meterflow (formerly Smart DTS), daily meter readings AMT-SYBEX’s solution for meter data management (MDM). The IBM and AMT-SYBEX testing has Affinity Meterflow application uses IBM Informix TimeSeries software demonstrated the capability of the IBM® to manage smart meter data. The benchmark was performed at the Informix® TimeSeries software to enable IBM Power Systems Benchmark Center in Montpellier, France, on the Affinity Meterflow™ application to offer linear scalability up to 100 million a single IBM POWER7® system, utilizing 16 cores.1 meters to load and process meter data at 30-minute intervals in less than 8 hours. Understanding the significance of this benchmark may help energy and The time required for 10 million meters took less than 36 minutes. utilities organizations and MDM solution providers to: • Deploy best-in-class MDM solutions • Dramatically reduce storage and system costs • Accelerate time-to-value gained from smart meter data • Reduce risk of smart meter deployments • Help protect growing smart meter investments
  • 2. IBM Software Executive Summary The results of this benchmark demonstrate the substantial In summary, the benchmark results show that Informix business value that use of Informix TimeSeries combined with TimeSeries software is able to break the bottleneck of massive a proven MDM application can deliver to the energy and MDM and deliver significant business benefits to utility utilities industry. We invite the reader to compare these organizations, as well as to ISVs offering packaged MDM results with other published benchmark results. solutions such as Affinity Meterflow from AMT-SYBEX. • Faster processing of meter data means faster business The value of the benchmark processes that use that data Data is increasingly the lifeblood of every industry, but a –Achieved daily billing calculations of 21,000 bills per minute deluge of digitized information can create huge disruptions while concurrently running the data load and risk if not anticipated and effectively managed. Consider the communications industry, forced to accelerate huge • Significant reduction in storage requirements infrastructure investments as their systems and networks –Total storage required for one month of interval and strain under the data pressure created by an avalanche of register data for 100 million meters was less than 4 terabytes smart devices and new data services. – Average throughput exceeded 420,000 records per second in meter data load using standard storage disks Enter the smart meter. • Consistent, scalable performance helps yield highly As the cornerstone of Smart Grid initiatives and Advanced predictable costs Metering Infrastructure (AMI), smart meters promise –Daily end-to-end processing times remained constant for to deliver significant benefits to energy and utilities 100 million meters over a 31-day period, irrespective of the organizations and their consumers. Smart meters amount of data stored fundamentally change how and when energy usage data –Storage requirements remained linear over time is collected. The result is a tsunami of data that must be processed, transferred, stored and analyzed, creating These results are enabled by the unique technology of the unforeseen technical challenges and business risks for which Informix TimeSeries software, used together with a proven many utility organizations are not prepared. MDM solution such as Affinity Meterflow. Unlike traditional relational databases, Informix TimeSeries technology As AMI initiatives increase, how does a buyer compare one consolidates and organizes time-stamped (interval) data in a MDM solution to another? Armed with the knowledge way that requires less storage space and enables significantly that MDM will create data storage and performance improved data load and query times. challenges, how does a buyer know the amount of systems and storage that will be needed or whether service-level agreement goals have been met? 2
  • 3. IBM Software Executive Summary Answers to these questions are determined by many factors, The benchmark was conceived and conducted to illustrate including the database system that sits at the core of all these benefits in tangible ways. It tested the preparation, MDM solutions, whether packaged or home-grown. Does it loading and validation, estimation and editing (VEE) of matter which data management solution is used? meter data for a 10 million–meter utility, as well as a “day-in-the-life” scenario for a 100 million–meter utility. If The answer is decidedly yes. you compare the performance of Affinity Meterflow with other MDM solution offerings that do not use Informix Providers of MDM solutions understand that faster TimeSeries software, we believe you will conclude that these processing of meter data enables faster business processes performance and scalability results are exceptional. that utilize that data (such as meter-to-cash) and faster data analysis. With a database system as the enabling technology, For more information performance is affected by the speed, efficiency, and To see the complete benchmark test and results, please visit: scalability of that database system. https://www.ibm.com/developerworks/forums/ thread.jspa?threadID=390441 IBM has conducted several Proof of Concepts (PoCs) with a number of companies using Informix TimeSeries as the enabling technology in the customer’s own MDM applications. In each PoC, Informix TimeSeries consistently outperformed the customer’s existing solutions, at times enabling up to 50 to 70 times faster processing of meter data, while requiring as little as 30 percent of the storage. 3
  • 4. © Copyright IBM Corporation 2011 IBM Corporation Software Group Route 100 Somers, NY 10589 U.S.A. Produced in the United States of America September 2011 All Rights Reserved IBM, the IBM logo, ibm.com, Informix and POWER7 are trademarks of International Business Machines Corporation, registered in many jurisdictions worldwide. A current list of other IBM trademarks is available on the web at “Copyright and trademark information” at ibm.com/legal/ copytrade.shtml Other company, product or service names may be trademarks, or service marks of others. DTS, Smart DTS, and Affinity Meterflow are products of AMT-SYBEX. IBM and AMT-SYBEX are separate companies and each is responsible for its own products. Neither IBM nor AMT-SYBEX makes any warranties, express or implied, concerning the other’s products. References in this publication to IBM products or services do not imply that IBM intends to make them available in all countries in which IBM operates. All statements regarding IBM’s future direction and intent are subject to change or withdrawal without notice, and represent goals and objectives only. 1 Performance data resulting from the benchmark testing contained in this summary were determined in various controlled laboratory environments using a specific hardware and software configuration, are provided AS IS, and are for reference purposes only. The results that may be obtained in other operating environments may vary significantly. Factors that may influence actual results include, but may not be limited to, the specific hardware (servers, storage, etc.) used, application environments, and use of data compression, etc. Please Recycle IME14017-USEN-00